TuftsBCB / RegDiffusion
Diffusion model for gene regulatory network inference.
☆18Updated last month
Alternatives and similar repositories for RegDiffusion
Users that are interested in RegDiffusion are comparing it to the libraries listed below
Sorting:
- ☆25Updated 4 months ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆25Updated 2 years ago
- ACTIONet single-cell analysis framework☆39Updated 7 months ago
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆14Updated 6 months ago
- ☆31Updated last week
- repository containing analysis scripts and auxiliary files☆34Updated 5 years ago
- Code and example of the D-SPIN framework☆22Updated 2 weeks ago
- ☆61Updated last year
- ☆58Updated 8 months ago
- ☆21Updated last week
- Modeling complex perturbations with CellFlow☆33Updated this week
- Decima is a Python library to train sequence models on single-cell RNA-seq data.☆36Updated last week
- Template repository for creating novel models with scvi-tools☆20Updated 2 years ago
- A R/MATLAB package to construct and compare gene regulatory networks from single-cell transcriptomic data☆23Updated 4 months ago
- Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.☆19Updated last month
- single cell foundation model for Gene network inference and more☆16Updated 7 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆60Updated 6 months ago
- code to run EPInformer for gene expression prediction and gene-enhancer links prioritization☆42Updated 5 months ago
- A single-cell analysis toolkit to jointly analyze samples from distinct conditions☆29Updated last month
- Functional and Learnable Cell dynamicS☆16Updated last week
- ☆14Updated 9 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated 2 weeks ago
- ☆38Updated last month
- Knowledge-primed neural networks☆36Updated 2 years ago
- Unsupervised Deep Disentangled Representation of Single-Cell Omics☆41Updated last week
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆52Updated 4 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- Spatial reconstruction of dissociated single-cell data☆17Updated last year
- ☆24Updated 3 months ago
- ☆31Updated 3 weeks ago